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Table 1 Prediction of tissue malignancy by metabolite ratios and by nearest centroid classification

From: Remodeling of central metabolism in invasive breast cancer compared to normal breast tissue – a GC-TOFMS based metabolomics study

method

# of metabolites

sensitivity

specificity

metabolite ratios: CMP / pentadecanoic acid

2

94.8%

93.9%

metabolite ratios: majority vote of 91 classifiers

20

97.0%

93.9%

cancerclass: nearest centroid

2

95.1% (86.4% - 97.6%)

93.9% (81.8% - 100%)

cancerclass: nearest centroid

20

97.1% (94.2% - 99.1%)

93.9% (84.8% - 100%)

cancerclass: nearest centroid

162

95.1% (93.2% - 97.1%)

93.9% (84.8% - 100%)

  1. CMP : cytidine-5-monophosphate.The metabolite ratio method was developed in the current work. Nearest centroid classification was executed using the R package cancerclass [37]. For the latter method, classification rates including 95% confidence intervals were estimated using multiple random validation.
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BMC Genomics

ISSN: 1471-2164

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